Articles by Jon Doe
The Monday Effect: Why the Best AI Teams Ship in Weekly Sprints
The teams shipping the most valuable AI features don't plan in quarters. They plan in weeks. Here's why the Monday reset is the most underrated force multiplier in AI product development.
Cloud-First Thinking: Why Your AI Architecture Should Start in the Sky
The teams building the most resilient AI products are not running inference on bare metal. They are designing for elasticity from day one. Here is why cloud-native AI architecture wins.
One Button to Deploy: How We Reduced Our AI Release Process to a Single Click
Our deploy process used to take 119 steps across 4 systems. Now it takes one button press. Here is the engineering story behind reducing deployment complexity by two orders of magnitude.
The AI Reliability Stack: Timeouts, Retries, and Fallback UX
Reliability is the difference between an AI demo and an AI product. This guide explains timeout budgets, retry classification, fallback chains, and degradation UX that protect user trust.
Pricing AI Features by Outcome, Not Token Volume
Token pricing is operationally convenient but often commercially weak. This framework shows how to price AI by customer outcomes while keeping delivery costs bounded.
Agent Workflows and Tool Safety: A Production Playbook
Agent workflows fail when autonomy outruns control. This production playbook covers policy boundaries, tool permissions, execution budgets, and incident-safe fallback design.
RAG vs Long Context in 2026: The Real Decision Framework
Bigger context windows changed architecture choices, but they did not eliminate retrieval. This guide shows where RAG wins, where long-context wins, and where hybrid systems are objectively better.
The Model Routing Playbook for GPT-4o and Claude Sonnet
Choosing one model for every request is the fastest way to unstable margins. This playbook shows how to route GPT-4o and Claude Sonnet by task risk, confidence, and recovery cost.